Application of fuzzy measures and interval computation to financial portfolio selection
Department or Administrative Unit
Computer Science
Document Type
Article
Author Copyright
© 2010 Wiley Periodicals, Inc.
Publication Date
3-24-2010
Journal
International Journal of Intelligent Systems
Abstract
As many data‐driven fields, finance is rich in problems requiring high computational power and intelligent systems techniques. In particular, the problem of selecting an optimal financial portfolio can be conveniently represented as a constrained optimization problem or a decision‐making problem. The aim of this paper is to show how to express the optimal portfolio selection problem from a decision‐theoretic perspective and show how to address this problem using fuzzy measures and fuzzy integrals.
Recommended Citation
Magoč, T., Wang, X., & Modave, F. (2010). Application of fuzzy measures and interval computation to financial portfolio selection. International Journal of Intelligent Systems, 25(7), 621–635. https://doi.org/10.1002/int.20415
Comments
This article was originally published in International Journal of Intelligent Systems. The full-text article from the publisher can be found here.
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